ABSTRACT
In addition to posting news and status updates, many Twitter users post questions that seek various types of subjective and objective information. These questions are often labeled with 'Q&A' hashtags, such as #lazyweb or #twoogle. We surveyed Twitter users and found they employ these Q&A hashtags both as a topical signifier (this tweet needs an answer!) and to reach out to those beyond their immediate followers (a community of helpful tweeters who monitor the hashtag). However, our log analysis of thousands of hashtagged Q&A exchanges reveals that nearly all replies to hashtagged questions come from a user's immediate follower network, contradicting users' beliefs that they are tapping into a larger community by tagging their question tweets. This finding has implications for designing next-generation social search systems that reach and engage a wide audience of answerers.
- André, P., Bernstein, M.S., and Luther, K. Who Gives a Tweet' Evaluating Microblog Content Value. CSCW 2012. Google ScholarDigital Library
- Bernstein, M., Bakshy, E., Burke, M., and Karrer, B. Quantifying the Invisible Audience in Social Networks. CHI 2013. Google ScholarDigital Library
- Cook, J., Kenthapadi, K., and Mishra, N. Group Chats on Twitter. WWW 2013. Google ScholarDigital Library
- Gilbert, E. Predicting Tie Strength in a New Medium. CSCW 2012. Google ScholarDigital Library
- Grannovetter, M. The Strength of Weak Ties. American Journal of Sociology, May 1973.Google ScholarCross Ref
- Hecht, B., Teevan, J., Morris, M.R., and Liebling, D. SearchBuddies: Bringing Search Engines into the Conversation. ICWSM 2012.Google Scholar
- Horowitz, D. and Kamvar, S.D. The Anatomy of a LargeScale Social Search Engine. WWW 2010. Google ScholarDigital Library
- Jeong, J-W., Morris, M.R., Teevan, J., and Liebling, D. A Crowd-Powered Socially Embedded Search Engine. ICWSM 2013.Google Scholar
- Jung, Y., Gray, R., Lampe, C., and Ellison, N. Favors from Facebook friends; Unpacking dimensions of social capital. CHI 2013. Google ScholarDigital Library
- Lampe, C., Ellison, N., and Steinfield, C. A Face(book) in the crowd: Social searching vs. social browsing. CSCW 2006. Google ScholarDigital Library
- Mahmud, J., Zhou, M.X., Megiddo, N., Nichols, J., and Drews, C. Recommending targeted strangers from whom to solicit information on social media. IUI 2013. Google ScholarDigital Library
- Morris, M.R., Teevan, J., and Panovich, K. What Do People Ask Their Social Networks, and Why' A Survey Study of Status Message Q&A Behavior. CHI 2010. Google ScholarDigital Library
- Morris, M.R. Collaborative Search Revisited. CSCW 2013. Google ScholarDigital Library
- Panovich, K., Miller, R., and Karger, D. Tie strength in question & answer on social network sites. CSCW 2012. Google ScholarDigital Library
- Paul, S.A., Hong, L., and Chi, E.H. Is Twitter a good place for asking questions' A characterization study. ICWSM 2011.Google Scholar
- Romero, D.M., Tan, C., and Ugander, J. On the Interplay between Social and Topical Structure. ICWSM 2013.Google Scholar
- Teevan, J., Morris, M.R., and Panovich, K. Factors Affecting Response Quantity, Quality, and Speed for Questions Asked via Social Network Status Messages. ICWSM 2011.Google Scholar
- Thom, J., Helsley, S.Y., Matthews, T.L., Daly, E.M., and Millen, D.R. What Are You Working On' Status Message Q&A within an Enterprise SNS. ECSCW 2011.Google Scholar
- Yang, L., Sun, T., Zhang, M., and Mei, Q. We Know What @You #Tag: Does the Dual Role Affect Hashtag Adoption' WWW 2012 Google ScholarDigital Library
Index Terms
- Is anyone out there?: unpacking Q&A hashtags on twitter
Recommendations
Temporal Effects on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach
WWW '17: Proceedings of the 26th International Conference on World Wide WebHashtags have become a powerful tool in social platforms such as Twitter to categorize and search for content, and to spread short messages across members of the social network. In this paper, we study temporal hashtag usage practices in Twitter with ...
Exploiting entities in social media
ESAIR '13: Proceedings of the sixth international workshop on Exploiting semantic annotations in information retrievalOver the past couple of years micro blogging platforms, such as Twitter, have become extremely popular for information generation and dissemination. Each day hundreds of millions of tweets are being published, containing fresh and trending information ...
Vertex-weighted measures for link prediction in hashtag graphs
ASONAM '19: Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and MiningCommunications on the popular social networking platform, Twitter, can be mapped in terms of a hashtag graph, where vertices correspond to hashtags, and edges correspond to co-occurrences of hashtags within the same distinct tweet. Furthermore, a vertex ...
Comments